For this assignment, two classifiers were constructed. One using one Gaussian
distribution, the other using several Gaussian distribution. Every exercise can
be run by running \texttt{ex\#}, where \# is the number of the exercise. 

In the entire assignment, a training set of 75\% of the data was used, with a
test set of the other 25\%, created randomly from the input, using an uploaded seed for
the random, making all the results reproducible. 
